neuron_morphology.transforms.affine_transformer._schemas

Module Contents

Classes

AffineDictSchema	affine_dict: keys and values corresponding to the following
ApplyAffineSchema	Arg Schema for apply_affine_transform module
OutputParameters	mm.Schema class with support for making fields default to

Functions

validate_input_affine(data)

neuron_morphology.transforms.affine_transformer._schemas.validate_input_affine(data)

class neuron_morphology.transforms.affine_transformer._schemas.AffineDictSchema(only=None, exclude=(), many=False, context=None, load_only=(), dump_only=(), partial=False, unknown=None)

Bases: argschema.schemas.DefaultSchema

affine_dict: keys and values corresponding to the following

[[tvr_00 tvr_01 tvr_02 tvr_09]

[tvr_03 tvr_04 tvr_05 tvr_10] [tvr_06 tvr_07 tvr_08 tvr_11] [0 0 0 1]]

tvr_00

tvr_01

tvr_02

tvr_03

tvr_04

tvr_05

tvr_06

tvr_07

tvr_08

tvr_09

tvr_10

tvr_11

class neuron_morphology.transforms.affine_transformer._schemas.ApplyAffineSchema(only=None, exclude=(), many=False, context=None, load_only=(), dump_only=(), partial=False, unknown=None)

Bases: argschema.ArgSchema

Arg Schema for apply_affine_transform module

affine_dict

affine_list

input_swc

output_swc

validate_schema_input(self, data, **kwargs)

class neuron_morphology.transforms.affine_transformer._schemas.OutputParameters(only=None, exclude=(), many=False, context=None, load_only=(), dump_only=(), partial=False, unknown=None)

Bases: argschema.schemas.DefaultSchema

mm.Schema class with support for making fields default to values defined by that field’s arguments.

inputs

transformed_swc